Although we like to think that our programming techniques are progressive and in tune with the bleeding edge of software development practices, too often they are directly influenced by restrictions faced when computers first became mainstream in the post-war decades. In this article Joe Celko looks at the history of mainframes, FORTRAN I and COBOL.
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Database Lifecycle Management (DLM) is about enabling rapid, risk-free database development and deployments. However, the most effective DLM processes actually reach beyond the database. Embracing the full scope of it can be daunting, so Grant Fritchey and Matthew Skelton are making it manageable.
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BI Architect Bill Pearson continues with the second of a set of articles surrounding a group of MDX functions specialized to support the analysis of data within the context of time / date. In this article, we will explore the OpeningPeriod() and ClosingPeriod() functions, and get hands-on practice with each in meeting sample business requirements.
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In this free eBook, Kalen Delaney explains how Microsoft's new In-memory OLTP engine works. In her book, learn how to use lock- and latch-free data structures to allow non-blocking data processing, and find out how to migrate existing tables to Hekaton.
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If you need to receive and process a large volume of of packets of data, such as telemetry, or event-log items, it may be worth considering Azure Event hubs. They aren't like traditional messaging but represent more of a stripped down one-way event processing system for large volumes of data. It could represent a good solution to an ever-present problem, but is it ready for production use? Rob Sheldon investigates.
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Inadequate storage is one of the most common bottlenecks seen in subsystem performance. There are a number of reasons for poor storage performance, but measuring it and understanding what needs to be measured and monitored is always a useful exercise.
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